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2.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
3.
Security system with motion detection and face recognition
by Patel, Ravi L., M.S.  California State University, Long Beach. 2017: 40 pages; 10251645.
5.
R-Eye: An image processing-based embedded system for face detection and tracking
by Patel, Brindal A., M.S.  California State University, Long Beach. 2016: 41 pages; 10141532.
6.
Evaluating the performance of iPhoto facial recognition at the biometric verification task
by Patmore, Keegan P., M.S.  Colorado State University. 2012: 28 pages; 1511042.
7.
Automatic Age Estimation from Real-World and Wild Face Images by Using Deep Neural Networks
by Qawaqneh, Zakariya, Ph.D.  University of Bridgeport. 2017: 99 pages; 10689195.
8.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
9.
The role of human recognition in economic development: Theory, measurement, and evidence
by Castleman, Joshua (Tony), Ph.D.  The George Washington University. 2009: 334 pages; 3344750.
10.
Sparse dictionary learning and domain adaptation for face and action recognition
by Qiu, Qiang, Ph.D.  University of Maryland, College Park. 2013: 150 pages; 3587452.
11.
Face Recognition Technique for Blurred/Unclear Images
by Visweswaran, Krishnan, M.S.  California State University, Long Beach. 2017: 33 pages; 10263528.
12.
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Dual-sensor approaches for real-time robust hand gesture recognition
by Liu, Kui, Ph.D.  The University of Texas at Dallas. 2015: 120 pages; 3708440.
14.
The importance of not being mean: DFM—a norm-referenced data model for face pattern recognition
by Kite, Lawrence Marc, Ph.D.  University of Southern California. 2009: 143 pages; 3355391.
16.
Analysis of facial marks as biometric signatures for forensic facial identification
by Srinivas, Nisha, Ph.D.  University of Notre Dame. 2015: 183 pages; 3731722.
17.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
18.
A face recognition-based attendance system
by Vuyyuru, Samrat Ashok Reddy, M.S.  California State University, Long Beach. 2016: 46 pages; 10142977.
19.
Looking at people using partial least squares
by Schwartz, William Robson, Ph.D.  University of Maryland, College Park. 2010: 123 pages; 3426408.
20.
Evaluations of Facial Attractiveness and Expression
by Peshek, Darren Joel, Ph.D.  University of California, Irvine. 2013: 115 pages; 3548691.
21.
Extracting Key Features for Analysis and Recognition in Computer Vision
by Gao, Hui, Ph.D.  The Ohio State University. 2006: 164 pages; 10835745.
22.
Developing a Subcomponent of Empathy in Juvenile Offenders
by Brown, Elizabeth L., Psy.D.  The University of the Rockies. 2018: 151 pages; 10817599.
23.
Real-Time Adaptive Data-Driven Perception for Anomaly Priority Scoring at Scale
by Miraftabzadeh, Seyed Ali, Ph.D.  The University of Texas at San Antonio. 2017: 142 pages; 10686275.
24.
Multimodal biometrics – Representation, optimization and kernelization
by Avuthu, Poojita Reddy, M.S.  California State University, Long Beach. 2016: 44 pages; 10118895.
25.
Computational pain quantification and the effects of age, gender, culture and cause
by Ostberg, Colin R., M.S.  Marquette University. 2014: 62 pages; 1554606.
26.
The communicative use of iconic face drawings to express emotional and evaluative statements in persons with aphasia
by Van Fossen, Laurel, M.A.  California State University, Long Beach. 2015: 101 pages; 1603546.
27.
Statistical models and optimization algorithms for high-dimensional computer vision problems
by Mitra, Kaushik, Ph.D.  University of Maryland, College Park. 2011: 155 pages; 3478970.
28.
How should a body move: Turkish German claims to recognition in architecture, film and literature
by Landfester, Petra, Ph.D.  University of Colorado at Boulder. 2012: 225 pages; 3549212.
29.
Factors affecting perceptions of online education quality and effectiveness in Brazil
by Reifschneider, Marina B., Ph.D.  TUI University. 2009: 284 pages; 3377886.
30.
Compound Exemplar based Object Class Detection and Beyond with VARIS System
by Ma, Kai, Ph.D.  University of Illinois at Chicago. 2014: 108 pages; 3639749.
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